This paper proposes a comprehensive EV charging portal built on the MERN stack, addressing infrastructure gaps, range anxiety, and operational inefficiencies in emerging markets like India. The system integrates real-time station discovery, secure bookings, payments, and ML-driven estimation of critical EV parameters—State of Charge (SOC), State of Health (SOH), charging efficiency, and range prediction. Our React frontend delivers interactive geospatial maps and dashboards, while Node.js/Express backend handles REST/WebSocket APIs connected to OCPP-enabled chargers. Deployed on AWS Kubernetes, it scales to 1K+ concurrent users with <200ms latency. Results show 95% SOC estimation accuracy (MAE: 2.1%) and 98% booking success rate, validated against real-world datasets. This work provides a practical blueprint for scalable EV ecosystems.
Maurya et al. (Thu,) studied this question.
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